Crimeless

Mission

Write something about what Crimeless is.

Who We Are

Talk about CS109, data sci, etc. We're students

What We Hope to Achieve

To date, “Big Data” and Data Analysis have helped corporations become more cost-effective and politicians reach voters in smarter ways. Unfortunately, despite the ubiquity of publicly available data, there haven’t been large-scale or successful attempts at helping Law Enforcement police the streets more effectively, and those attempts that have been made are often on expensive platforms that are not readily accessible to the general public.
What we seek to do in this project is build out data analytics models for Law Enforcement that can demonstrate the power of data analysis effectively enough so as to encourage more work on this topic and to keep our streets safe.

Development

The Making of Crimeless

The first part of our project is our Static Analysis. This part of our project consists of an exploratory study of crime in Boston and an analysis of which static factors (i.e. factors that do not change on an hourly or daily basis) are most likely to lead to a more crime-prone area.

The second part of our project is our Dynamic Analysis. This part of the project consists of predicting when and where a crime will occur by using dynamic factors (things that change frequently over time such as weather, time of day, public holidays or weekends etc) to determine if a crime will occur or not in a given location at a given time. We then use the accuracy of our predictions and a probability of success at stopping a predicted crime to estimate an estimated positive economic impact on Boston.

Analysis

Our analysis, findings, etc.

Future Work

Utilization of More Factors

Improved Model Performance

Testing in Other Cities

Contact Us

Questions about Crimeless?

Harvard College
Cambridge, MA 02138

carlfernandes@college.harvard.edu
jruben@college.harvard.edu
awohns@college.harvard.edu
dev.rishi777@gmail.com

304-580-1392

Crimeless

Our Team

The Creators of Crimeless

Dev Rishi

Carl Fernandes

James Ruben

Wilder Wohns